As comprehensive as amplitude damping channels are, they cannot be efficiently implemented in classical computers when the number of qubits starts to grow. This limitation made the research community consider the use of approximated channels that are efficiently implementable in the classical domain and that maintain enough information about quantum noise. Twirling is an extensively used method in quantum information theory to study the average effect of general quantum noise
models via their mapping to more symmetric versions of themselves [1]}, [2]}. Moreover, it is known that any correctable code for a twirled channel is a correctable code for the original channel up to an additional unitary correction [3]}.
